GW 17 Intermediate Results – Sunday

Please welcome intermediate results for GW 17 after the games on Sunday.

SUMMARY

Random Sample Top 10K
Number of Managers 20,000 10,000
GW17 Average Score 42.3 65.8
Average Points Deducted for Point Hits 1.0 1.4
Players Played per Team (out of 12) 7.0 8.5
Captains Played 63.4% 99.5%

AVERAGE POINTS DISTRIBUTION

GW17Average

AVERAGE POINTS PER TEAM BY SOURCE OF POINTS

Random Sample Top 10K
Source of Points Points % of the Average Points % of the Average
Minutes Played 13.6 32.0% 16.9 25.7%
Goals Scored 15.7 37.1% 26.6 40.4%
Assists 6.2 14.7% 11.1 16.8%
Clean Sheet Points 1.4 3.2% 1.3 2.0%
Goals Conceded -0.8 -1.8% -0.6 -0.9%
Own Goals and Penalty Misses -0.2 -0.3% -0.3 -0.3%
Red and Yellow Cards -0.3 -0.7% -0.3 -0.4%
Saves and Penalty Saves 0.3 0.7% 0.3 0.4%
Bonus Points 6.5 15.4% 10.9 16.5%
TOTAL 42.3 100.0% 65.8 100.0%

10 PLAYERS CONTRIBUTING THE MOST TO THE AVERAGE

Random Sample Top 10K
Player GW Points Per Average Team % of the Average Player GW Points Per Average Team % of the Average
Suárez 16 15.0 35.4% Suárez 16 31.7 48.3%
Yaya Touré 10 4.3 10.3% Yaya Touré 10 6.8 10.4%
Coleman 8 2.9 7.0% Coleman 8 5.8 8.8%
Rooney 11 2.4 5.8% Rooney 11 4.8 7.2%
Barkley 9 2.0 4.7% Negredo 5 1.9 2.8%
Lallana 12 1.8 4.3% Barkley 9 1.5 2.3%
Negredo 5 0.8 2.0% Lallana 12 1.4 2.1%
Lukaku 2 0.7 1.7% Lukaku 2 1.2 1.8%
Mignolet 2 0.7 1.7% Cabaye 11 1.2 1.8%
Cabaye 11 0.7 1.6% Mignolet 2 0.9 1.4%

AVERAGE POINTS PER TEAM BY LINE IN FORMATION

Random Sample Top 10K
Line in Formation Points % of the Average Points % of the Average
Goalkeeper 1.9 4.6% 2.2 3.4%
Defenders 6.5 15.3% 8.9 13.5%
Midfielders 12.6 29.8% 14.1 21.5%
Forwards 21.3 50.4% 40.5 61.6%
Points for Captain 16.6 39.1% 31.6 48.1%
Points on the Bench 5.8 13.7% 5.3 8.1%
TOTAL 42.3 100.0% 65.8 100.0%

AVERAGE POINTS BY POSITION

Random Sample Top 10K
Position Points Points
Goalkeeper 2.5 2.7
Defender 3.4 4.1
Midfielder 6.3 7.7
Forward 7.6 9.2
(*) This table only accounts for players who have played positive minutes this week

ABOUT THIS POST

In this post, I take a look at 2 samples: randomly selected 20,000 FPL teams and the top 10,000 FPL teams. Because of the law of large numbers, we can make inferences about the overall FPL league based on the statistics for the random sample.
I’ve also added interval estimates for most statistics for the whole FPL game. If you’re familiar with the concept of confidence intervals, you can point at a specific number characterising the random sample to see 99% confidence intervals for the respective number characterising all the 3 million FPL managers.

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